Model comparison
GLM-4.5 vs o3-pro
GLM-4.5 and o3-pro score almost the same on the Noometry Index (42.0 vs 42.9), so choose on price, context window or the category you care about most.
Last verified . 5 shared benchmarks.
Summary
- They share 5 benchmarks with published results for both. GLM-4.5 scores higher in 3 categories and o3-pro in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.2 to 38.2.
- The biggest single-benchmark swing is Fiction.LiveBench: 58.3% for GLM-4.5 and 97.2% for o3-pro.
- GLM-4.5 is cheaper at $0.60 / $2.20 per million input/output tokens, against $20 / $80 for o3-pro.
- o3-pro accepts more context: 200K tokens versus 131K.
- GLM-4.5 has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5 | o3-pro | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 42.0 | 42.9 |
| Released | 2025-07-27 | 2025-06-10 |
| Weights | Open | Proprietary |
| Context window | 131K | 200K |
| Max output | 98K | 100K |
| Input $ / M tokens | $0.60 | $20 |
| Output $ / M tokens | $2.20 | $80 |
| Results tracked | 27 | 12 |
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Category by category
Coding o3-pro leads
GLM-4.5: 41.4 (#125), o3-pro: 55.5 (#24)
| Benchmark | GLM-4.5 | o3-pro |
|---|---|---|
| WeirdML | 40.6% | 58.2% |
| SWE-bench Verified (bash only) | 54.2% | — |
| Aider Polyglot | — | 84.9% |
| LMArena Coding | 1434 | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 28.6 (#100), o3-pro: 23.8 (#171)
| Benchmark | GLM-4.5 | o3-pro |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | 72.1% |
| ARC-AGI-2 | — | 4.9% |
| ARC-AGI-1 | — | 59.3% |
| LMArena Hard Prompts | 1429 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| Epoch Capabilities Index | — | 147.42 |
Math Not comparable
GLM-4.5: 39.0 (#116), o3-pro: —
| Benchmark | GLM-4.5 | o3-pro |
|---|---|---|
| LMArena Math | 1427 | — |
Knowledge GLM-4.5 leads
GLM-4.5: 35.9 (#179), o3-pro: 29.5 (#238)
| Benchmark | GLM-4.5 | o3-pro |
|---|---|---|
| Confabulations | 11.3% | 14.2% |
| Humanity's Last Exam | 8.3% | — |
| Vectara Hallucination Rate | — | 23.3% |
| LMArena Expert | 1433 | — |
Multilingual Not comparable
GLM-4.5: 52.8 (#77), o3-pro: —
| Benchmark | GLM-4.5 | o3-pro |
|---|---|---|
| LMArena Non-English | 1417 | — |
| LMArena Chinese | 1465 | — |
| LMArena French | 1418 | — |
| LMArena German | 1407 | — |
| LMArena Japanese | 1415 | — |
| LMArena Korean | 1380 | — |
| LMArena Russian | 1414 | — |
| LMArena Spanish | 1454 | — |
Instruction Following Not comparable
GLM-4.5: 74.1 (#104), o3-pro: —
| Benchmark | GLM-4.5 | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1404 | — |
Long Context o3-pro leads
GLM-4.5: 38.2 (#201), o3-pro: 72.2 (#1)
| Benchmark | GLM-4.5 | o3-pro |
|---|---|---|
| Fiction.LiveBench | 58.3% | 97.2% |
| LMArena Longer Query | 1412 | — |
Writing & Preference Too close to call
GLM-4.5: 57.5 (#127), o3-pro: 57.1 (#133)
| Benchmark | GLM-4.5 | o3-pro |
|---|---|---|
| Short-Story Creative Writing | 73.4% | 84.4% |
| LMArena Text | 1430 | — |
| LMArena Creative Writing | 1395 | — |
| EQ-Bench Creative Writing | 1343 | — |
| LMArena Multi-Turn | 1415 | — |
Frequently asked questions
Is GLM-4.5 better than o3-pro?
GLM-4.5 and o3-pro score almost the same on the Noometry Index (42.0 vs 42.9), so choose on price, context window or the category you care about most.
Which is cheaper, GLM-4.5 or o3-pro?
GLM-4.5 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; o3-pro lists at $20 and $80.
Is GLM-4.5 or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 41.4 in the Noometry coding category.
Which has the bigger context window?
o3-pro does, with 200K tokens against 131K.
How many benchmarks do GLM-4.5 and o3-pro share?
5 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and o3-pro has 12.